Samuel Hawkins
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Oncology
- Co-authors
- Robert J. GilliesLawrence HallMatthew B. SchabathDmitry B. GoldgofYoganand BalagurunathanRahul PaulRobert A. GatenbyOlya Stringfield
- Topics
- Radiomics and Machine Learning in Medical Imaging (13 papers)Lung Cancer Diagnosis and Treatment (9 papers)AI in cancer detection (7 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Samuel Hawkins
14 papers receiving 702 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 635
- Pulmonary and Respiratory Medicine 412
- Artificial Intelligence 210
- Biomedical Engineering 164
- Oncology 62
Countries citing papers authored by Samuel Hawkins
This map shows the geographic impact of Samuel Hawkins's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Hawkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Hawkins more than expected).
Fields of papers citing papers by Samuel Hawkins
This network shows the impact of papers produced by Samuel Hawkins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Hawkins. The network helps show where Samuel Hawkins may publish in the future.
Co-authorship network of co-authors of Samuel Hawkins
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Hawkins. A scholar is included among the top collaborators of Samuel Hawkins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Hawkins. Samuel Hawkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 10 | |
| 4 | 30 | |
| 5 | 35 | |
| 6 | 73 | |
| 7 | 28 | |
| 8 | 5 | |
| 9 | 220 | |
| 10 | 133 | |
| 11 | 56 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 98 |
About Samuel Hawkins
Samuel Hawkins is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 14 papers that have together received 719 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Lung Cancer Diagnosis and Treatment (9 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (635 citations), Health Informatics (26 citations) and Pulmonary and Respiratory Medicine (412 citations). Samuel Hawkins has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Robert J. Gillies, Lawrence Hall, Matthew B. Schabath, Dmitry B. Goldgof, Yoganand Balagurunathan, Rahul Paul, Robert A. Gatenby, Olya Stringfield, Dmitry Goldgof and Dmitry Cherezov. Their work appears in journals such as Scientific Reports, IEEE Access and Medical Physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.